Study on On-Line Monitoring Method for Grinding Quality

Gui Jie Liu; Ya Dong Gong; Wan Shan Wang

doi:10.4028/www.scientific.net/KEM.259-260.287

Paper Titles

Electrolytic In-Process Dressing (ELID) and Super-Precision Grinding for the Ring Raceway of Ball Bearings
p.268

Critical Grinding Condition Model for Predicting Grinding Induced Lateral Cracks in Nanostructured Ceramic Coatings
p.273

Mechanism of Burr Formation in Milling
p.278

The Effect of Wheel Velocity and Shape on Rotating Airflow in Super-High-Speed Grinding
p.282

Study on On-Line Monitoring Method for Grinding Quality
p.287

Research on Ultrasonic Vibration Drill-Grinding Acoustic System of Micro-Hole
p.293

Research on Ultrasonic Honing Performance of ZrO₂ Engineering Ceramics Using Diamond Oil-Stone with Coarse Grains
p.297

Study of Ultra-High Speed Grinding Mechanism with Molecular Dynamics Simulation
p.302

Study on Spherical Face Grinding of Gcr15-Bearing-Steel Spindle Pivot by CBN Wheels
p.307

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Study on On-Line Monitoring Method for Grinding Quality

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Periodical:

Key Engineering Materials (Volumes 259-260)

Pages:

287-292

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.259-260.287

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Online since:

March 2004

Authors:

Gui Jie Liu, Ya Dong Gong, Wan Shan Wang

Keywords:

Acoustic Emission (AE) Signal, Grinding, Neural Network (NN), On-Line Monitor, Surface Quality

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